-
subject with above-average grades You have very good programming skills in deep learning frameworks and Python Ideally, you already have basic knowledge of computer vision and computer graphics You enjoy
-
of research and innovation! What you will do Develop and test new deep learning architectures Analyze and preprocess different data types, mostly climate-, weather- and geo-data Conduct and document Deep
-
of machine learning models on large high performance computing infrastructure A strong understanding of and practical experience with Deep Neural Networks for image- and time series data A strong understanding
-
, especially Deep Learning, LLM, and multi-modal ML Experience with different data types, e.g., time series, images, or texts in the ML context Experience and confidence in using Linux (Ubuntu) and Git in
-
clean and tidy code Affinity for technologies Conscientiousness in implementing, testing and documenting algorithms Curiosity about a deeper understanding of Deep Learning architectures Interest in
-
innovation! What you will do Research and development of innovative algorithms, methods and systems in the field of 3D video processing and computer vision with application in AR/VR Research on novel deep
-
Tasks Collection, annotation and structuring of data Programming, training and analysing deep-learning-models Your Profile University degree in chemistry, informatics or a comparable course of study Very
-
. Main working areas are AI, Deep Learning and Information Theory for Security, Privacy and Identity. You can find further details at: www.mi.fu-berlin.de/en/inf/groups/ag-comm/index.html . Job description
-
targets Development and application of deep learning (DL)‑based algorithm for 1) drug-disease link prediction (e.g., graph neural networks) and/or 2) mining of electronic health records from millions
-
of research and innovation! What you will do Applied science in exciting projects Design, execute and document machine learning experiments Testing the latest deep learning architectures and methods Analysis